The team analyzed DNA from about 100 trees per species, searching for genetic clues about the history and future of each species.

Ecologists are increasingly tapping into AI to assist conservation, but many are grappling with how to use these energy-hungry systems without fueling future environmental problems.

Forest ecologist Mark Harmon has been exhaustively examining dead logs for 40 years, and he’s found a complex world few people see ...

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS).

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal of Materials Science and Chemical Engineering, 13, 128-154. doi: ...

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, and ...

This important study used five metrics to compare the cost-effectiveness of intramural and extramural research funded by the National Institutes of Health in the United States between 2009 and 2019.

Uniform and intensive forest management approaches threaten European forest biodiversity. There are many different ways to manage forests, but the effects of different combinations of approaches are ...

In nature, random fiber networks such as some of the tissues in the human body, are strong and tough with the ability to hold together but also stretch a lot before they fail. Studying this structural ...

Researchers are increasingly turning to artificial-intelligence tools that can handle complex, multi-step processes.